Normal approximation to binomial distribution using T-SQL and R
In the previous post I demonstrated the use of binomial formula to calculate probabilities of events occurring in certain situations....
2017-04-17
1,420 reads
Mala Mahadevan
The Binomial Formula with T-SQL and R
In a previous post I explained the basics of probability. In this post I will use some of those principles to...
2017-04-17 (first published: 2017-04-10)
1,917 reads
Sampling Distribution and Central Limit Theorem
In this post am going to explain (in highly simplified terms) two very important statistical concepts – the sampling distribution and central...
2017-04-03
693 reads
Basics of Probability
In this post am going to introduce into some of the basic principles of probability – and use it in other posts...
2017-03-30 (first published: 2017-03-20)
4,492 reads
Generating Frequency Table
This week’s blog post is rather simple. One of the main characteristics of a data set involving classes, or discrete...
2017-03-20 (first published: 2017-03-06)
8,219 reads
TSQL2sday – Daily database WTF
This month’s TSQL Tuesday is organized by Kennie T Pontoppidan(t) – the topic is ‘Daily Database WTF‘ – or a horror story...
2017-03-12
436 reads
The Empirical Rule
I am resuming technical blogging after a gap of nearly a month. I will continue to blog my re learning...
2017-03-02 (first published: 2017-02-27)
2,500 reads
SQL Cruise 2017 – Western Carribean – my experience
As some readers may know, I am a regular attendee on SQL Cruise s for 8 years now. SQLCruise is...
2017-02-19
611 reads
My Epic Life Quest
I have always maintained a private bucket list. I have not had the courage to actually put it down in...
2017-01-13 (first published: 2017-01-02)
1,915 reads
Simpson's Paradox
This article is a case study and an attempt to explain an interesting phenomenon with data anomalies that is commonly called Simpson's Paradox.
2017-01-10
3,697 reads
Blogs
Advice I Like: Fear and Imagination
By Steve Jones
Fear is fueled by a lack of imagination. The antidote to fear is not...
Cloud Data Driven User Group 2025 – Slides & Scripts
The slidedeck and the SQL scripts for the session Indexing for Dummies can be...
Leading Through Change: Guiding Teams in Times of Uncertainty
By Chris Yates
Change is not a disruption in technology; it is the rhythm. New frameworks appear,...
Forums
Simple delete causes table scan on other tables with foreign key
Why is sql doing a full scan VS seeking on the index? I've included...
Show/Hide number of rows in table
We have a report that has multiple tables that list the top 15 performers...
Replication from IBMi DB2 to MS SQL
We have a tool called DB Moto that reads journals (like t-logs) and replicates...
Question of the Day
Checking Identities
The DBCC CHECKIDENT command is used when working with identity values. I have a table with 10 rows in it that looks like this:
TravelLogID CityID StartDate EndDate 1 1 2025-01-11 2025-01-16 2 2 2025-01-11 2025-01-16 3 3 2025-01-11 2025-01-16 4 4 2025-01-11 2025-01-16 5 5 2025-01-11 2025-01-16 6 6 2025-01-11 2025-01-16 7 7 2025-01-11 2025-01-16 8 8 2025-01-11 2025-01-16 9 9 2025-01-11 2025-01-16 10 10 2025-01-11 2025-01-16The docs for DBCC CHECKIDENT say this if I run with only the table parameter: "If the current identity value for a table is less than the maximum identity value stored in the identity column, it is reset using the maximum value in the identity column. " I run this code:
DELETE dbo.TravelLog WHERE TravelLogID >= 9
GO
DBCC CHECKIDENT(TravelLog, RESEED)
GO
INSERT dbo.TravelLog
(
CityID,
StartDate,
EndDate
)
VALUES
(4, '2025-09-14', '2025-09-17')
GO
What is the identity value for the new row inserted by the insert statement above? See possible answers